Retinopathy of prematurity (ROP) is a leading cause of preventable vision loss in preterm
infants. While appropriate screening is crucial for early identification and treatment of ROP …

Importance Retinopathy of prematurity (ROP) is a leading cause of preventable blindness
that disproportionately affects children born in low-and middle-income countries (LMICs). In …

The diagnosis of retinopathy of prematurity (ROP) is primarily image-based and suitable for
implementation of artificial intelligence (AI) systems. Increasing incidence of ROP, especially …

Importance One of the biggest challenges when using anti–vascular endothelial growth
factor (VEGF) agents to treat retinopathy of prematurity (ROP) is the need to perform long …

Purpose Epidemiological changes in retinopathy of prematurity (ROP) depend on neonatal
care, neonatal mortality, and the ability to carefully titrate and monitor oxygen. We evaluate …

Background Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is
diagnosed through interval screening by paediatric ophthalmologists. However, improved …

Importance Although race is a social construct, it is associated with variations in skin and
retinal pigmentation. Image-based medical artificial intelligence (AI) algorithms that use …

Importance Retinopathy of prematurity (ROP) is a leading cause of blindness in children,
with significant disparities in outcomes between high-income and low-income countries, due …

Purpose The primary objective of this study was to develop and validate an AI algorithm as a
screening tool for the detection of retinopathy of prematurity (ROP). Participants Images …

Objective To evaluate whether providing clinicians with an artificial intelligence-based
vascular severity score (AI-VSS) improves consistency in diagnosis of plus disease in …